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Workshops

Training throughout the research lifecycle

The Library provides workshops on a range of topics to support HDR students and researchers. You can find and sign up for upcoming sessions using the online calendar.

To find out more about workshops relating to literature searching, strategic publishing, finding industry collaborators and reference management, contact your Academic Liaison Librarian.

To find out more about workshops relating to research data management, visualisation and data publishing contact the Digital Curation and Data team.

Research data training sessions

Preparing for analysis: best practices in managing quantitative data

  • Do you work with quantitative tabular data such as counts, measurements, or other numerical values? Come along to this session to find out how to structure and format your data tables using spreadsheets, how to organise your data files into a folder structure for analysis, and how to document your data so that it can be understood and reused.

    Objectives:

    • Understand how to structure and format your quantitative data
    • Understand how to organise your quantitative data files within a folder structure
    • Understand how to document your quantitative data
    • Ensure your quantitative data is optimised for reuse and replication

    Format: Presentation

    Target audience: Researchers and HDR students who are or will be working with quantitative data using spreadsheet software such as Microsoft Excel or analysis software such as MATLAB, R, SAS, SPSS, or similar.

    View upcoming sessions


Preparing for analysis: best practices in managing qualitative data

  • Do you work with qualitative data such as interview recordings and transcripts, written survey responses, or other text, image, audio and video files? Come along to this session to find out how to structure and format your data files for use with Computer Assisted Qualitative Data AnalysiS (CAQDAS) software, how to organise your data files into a folder structure for analysis, and how to document your data so that it can be understood and reused.

    Objectives:

    • Understand how to structure and format your qualitative data
    • Understand how to organise your qualitative data files within a folder structure
    • Understand how to document your qualitative data
    • Ensure your qualitative data is optimised for reuse and replication

    Format: Presentation

    Target audience: Researchers and HDR students who are or will be working with qualitative data using software such as Microsoft Word and Excel, as well as PDF, image, audio, and video files, or analysis software such as NVivo, ATLAS.ti, MAXQDA, or similar.

    View upcoming sessions


Getting started with data visualisation

  • Have you ever looked at a figure in a journal article and thought "What on earth does that even mean?"... We certainly have! This session on data visualisation will get back to basics and give you some best practice advice so that you can create visualisations with your research data that communicate your point and are easily understood by everyone.

    Objectives:

    • Know the principles of data visualisation
    • Understand different purposes of and audiences for data visualisations
    • Recognise the relationship between visualisation type and underlying data type or structure
    • Understand the strengths and limitations of different media for visualising data
    • Gain knowledge of the tools and resources available to support visualisation activities

    Format: Presentation

    Target audience: Researchers and HDR students who need to visualise data for analysis or presentation purposes

    View upcoming sessions


Getting started with data publishing

  • Data publishing is a growing trend in academia and is even mandated by some funders and publishers. This session will give you essential tips about data publication including info on preparing your data for publication and choosing the best place to publish for your discipline.

    Objectives:

    • Understand what information to include when publishing a dataset
    • Understand how to publish a dataset so that it is accessible
    • Recognise the different licences that can be applied to a dataset
    • Know how to find a relevant repository to publish in

    Format: Workshop or Webinar

    Target audience: Researchers and HDR students that are interested in publishing their research data

    View upcoming sessions



What you need to know about Research Data Management @ SYDNEY

  • Are you a researcher, higher degree by research student, or research support staff member at the University of Sydney? And do you want to know about the institutional policies and requirements for the management of research data? If your answer is ‘yes’, come along to learn all about research data management at the University of Sydney, including available tools, services, workshops, online resources, help and support, and take the opportunity to ask your burning RDM questions.

    Objectives:

    • Understand research data and the importance of research data management (RDM)
    • Be aware of Australian and University RDM policies and requirements
    • Understand your responsibilities in doing research at the University of Sydney
    • Know how to meet RDM requirements, e.g. creating research data management plan
    • Gain knowledge of the tools and resources available to support RDM activities

    Format: Presentation

    Target audience: Researchers, HDR students and research support staff who want to understand research data management at the University Sydney

    View upcoming sessions



Make data FAIR: Effective strategies and best practices for managing your research data

  • Research data is the heart of research. It’s important to look after your research data well from start to the end of your project, ensuring that you can find, access, publish or reuse your data now and/or in the future. In the session, you will learn how to make your research data Findable, Accessible, Interoperable, and Reusable (FAIR) with recommended best practices for organising, describing, storing, backing-up and archiving research data.

    Objectives:

    • Understand the benefits of good data management
    • Gain knowledge of the FAIR principles
    • Understand how to organise, describe, properly store and retain your research data
    • Gain knowledge of the tools and resources available to support data management activities

    Format: Presentation

    Target audience: HDR students and researchers who wants to learn how to manage research data effectively and FAIR-ly with recommended best practices

    View upcoming sessions



Infographics 101: Creating infographics for research communication

  • Infographics can be an engaging way of presenting information to people. This session will look at how infographics can be used to communicate your research to different audiences. You'll learn how to design an infographic layout and you'll have a chance to experiment with using Adobe Illustrator to create infographics.

    Objectives:

    • Identify effective elements of infographics for research communication
    • Design a layout for an infographic to communicate an aspect of your research
    • Find and make use of content licensed for reuse
    • Create a portion of an infographic using Adobe Illustrator

    Format: Workshop. Computers and other materials for the exercises will be provided. If you wish to bring your own laptop to work from, please ensure that Adobe Illustrator is installed on your laptop.

    Target audience: Researchers and HDR students who want to be able to create infographics to communicate their research.

    View upcoming sessions



Data wrangling drop in

  • Do you want to boost your research from data collection to publishing? How about real-time interactions with your supervisors and collaborators to share your bright ideas? Do you want to effectively curate and communicate your fascinating research findings? Come along and meet Research Data Consultants from the Sydney Informatics Hub and University Library. Learn about support services available across the University as well as digital platforms and tools to enhance your research.

    In this drop-in session, you can request consultations for:

    • DashR, REDCap, eNotebooks and other University-supported digital research tools
    • Research data management planning and best practices
    • Data archiving, publishing and visualisation

    Time: Every Tuesday 1pm - 3pm

    Location: ThinkSpace (above SciTech Library)

    Target audience: Researchers, Staff and HDR Students.


    No booking required